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| Многослоен темпорален мрежов анализ× | Мултислойно откриване на общности× | |
|---|---|---|
| Област | Мрежови анализ | Мрежови анализ |
| Семейство | Machine learning | Machine learning |
| Година на възникване≠ | 2012–2014 | 2010–2014 |
| Създател≠ | Kivela, M. et al.; Holme, P. & Saramaki, J. | Mucha, P. J. et al.; Kivela, M. et al. |
| Тип≠ | Network analysis framework | Community detection algorithm for multilayer networks |
| Основополагащ източник | Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. DOI ↗ | Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. DOI ↗ |
| Други названия | MTNA, temporal multilayer network analysis, time-varying multilayer network analysis, dynamic multilayer network analysis | multilayer clustering, multiplex community detection, cross-layer community detection, MCD |
| Свързани≠ | 4 | 5 |
| Резюме≠ | Multilayer temporal network analysis studies relational systems in which nodes interact through multiple distinct types of ties that all evolve over time. By modeling each relationship type as a separate layer and tracking how those layers change across time snapshots, the method reveals how cross-layer dynamics and temporal patterns jointly shape information flow, influence spread, and community structure. | Multilayer community detection identifies groups of nodes that are densely connected across multiple types of relationships simultaneously. By coupling layers of a network — such as friendship, advice, and collaboration ties — it finds communities that are coherent not just within one relation type but across all of them, revealing structure that single-layer analysis would miss. |
| ScholarGateНабор от данни ↗ |
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